Especially for easy integration with servers we setup the wradlib-docker repository. There we provide the Dockerfiles for five different docker images in feature branches. Those docker images are build automatically and are available on docker-hub.

In order to run these docker images as containers, you need to have docker installed on your local computer or server. Please refer to the docker documentation for installation guidance. Once you have docker installed and running you can use the provided wradlib-docker images. You can either pull them directly from docker hub or create them locally from the wradlib-docker repository.

You can run a jupyter notebook server using the notebook using the following setup. You would need to download wradlib-notebooks and wradlib-data. The docker run command mounts the host folders containing wradlib-notebooks and wradlib-data into the container: